Role Purpose
IFS is building a more data-driven technology-enabled HR function. As part of this ambition we are hiring a Junior Innovation Engineer to help design and deliver practical AI-enabled solutions that improve how we plan manage and support our workforce.
This is an early-career role focused on real HR business problems not academic research or theoretical modelling. The successful candidate will work closely with HR leaders HRIS and technical teams to automate manual processes generate better people insights and test how AI can be responsibly applied across the employee lifecycle.
This role is intentionally scoped as a proof of concept with strong development opportunities as capability and impact are demonstrated.
Key Responsibilities
HR Automation and AI Enablement
- Support the design and development of AI-enabled tools and automations to improve HR processes such as workforce planning talent acquisition analytics skills analysis and attrition insights.
- Use machine learning techniques data analysis and large language model capabilities to solve clearly defined HR use cases.
- Help reduce manual spreadsheet-driven work through scripting automation and intelligent workflows.
Data and Analytics Delivery
- Build and maintain simple data pipelines using HR data from systems such as HRIS ATS engagement platforms and surveys.
- Develop dashboards models or tools that move HR insight beyond static reporting toward predictive or decision-support use cases.
- Ensure data quality and transparency of assumptions in all outputs.
Business Collaboration
- Work closely with HR stakeholders to understand business questions and translate them into analytical or technical solutions.
- Present findings and tools in clear non-technical language suitable for HR and business leaders.
- Iterate solutions based on feedback and real-world usage rather than theoretical design.
Governance and Responsible AI
- Follow IFS standards for data privacy security and ethical use of AI particularly when working with people data.
- Partner with HR Legal IT and Security to ensure solutions are appropriate explainable and responsible.
Qualifications :
Skills and Experience
Essential
- Degree (Bachelors or Masters) in Data Science Computer Science Engineering Mathematics or a related field.
- Strong working knowledge of Python and SQL or similar tools.
- Foundational understanding of data analysis statistics and basic machine learning concepts.
- Familiarity with large language models and AI tooling (e.g. prompt design APIs experimentation).
- Ability to explain technical concepts in clear practical business terms.
Desirable
- Exposure to cloud platforms (GCP Azure or AWS).
- Experience working with business or operational datasets (HR data a plus but not required).
- Internship placement or project experience in analytics consulting or automation.
- Awareness of ethical considerations in data and AI use.
Personal Attributes
- Curious and practical with a strong bias toward building and testing solutions.
- Comfortable working in ambiguity and learning through iteration.
- Commercially aware with an interest in how HR supports business outcomes.
- Collaborative and open to feedback with a growth mindset.
What Success Looks Like in the First Year
- Delivery of working AI- or data-enabled solutions that are actively used by HR teams.
- Measurable reduction in manual HR effort or improvement in decision quality.
- Increased confidence within HR to use data and AI responsibly.
- A clear case for scaling HR innovation capability based on demonstrated impact.
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
Role PurposeIFS is building a more data-driven technology-enabled HR function. As part of this ambition we are hiring a Junior Innovation Engineer to help design and deliver practical AI-enabled solutions that improve how we plan manage and support our workforce.This is an early-career role focused ...
Role Purpose
IFS is building a more data-driven technology-enabled HR function. As part of this ambition we are hiring a Junior Innovation Engineer to help design and deliver practical AI-enabled solutions that improve how we plan manage and support our workforce.
This is an early-career role focused on real HR business problems not academic research or theoretical modelling. The successful candidate will work closely with HR leaders HRIS and technical teams to automate manual processes generate better people insights and test how AI can be responsibly applied across the employee lifecycle.
This role is intentionally scoped as a proof of concept with strong development opportunities as capability and impact are demonstrated.
Key Responsibilities
HR Automation and AI Enablement
- Support the design and development of AI-enabled tools and automations to improve HR processes such as workforce planning talent acquisition analytics skills analysis and attrition insights.
- Use machine learning techniques data analysis and large language model capabilities to solve clearly defined HR use cases.
- Help reduce manual spreadsheet-driven work through scripting automation and intelligent workflows.
Data and Analytics Delivery
- Build and maintain simple data pipelines using HR data from systems such as HRIS ATS engagement platforms and surveys.
- Develop dashboards models or tools that move HR insight beyond static reporting toward predictive or decision-support use cases.
- Ensure data quality and transparency of assumptions in all outputs.
Business Collaboration
- Work closely with HR stakeholders to understand business questions and translate them into analytical or technical solutions.
- Present findings and tools in clear non-technical language suitable for HR and business leaders.
- Iterate solutions based on feedback and real-world usage rather than theoretical design.
Governance and Responsible AI
- Follow IFS standards for data privacy security and ethical use of AI particularly when working with people data.
- Partner with HR Legal IT and Security to ensure solutions are appropriate explainable and responsible.
Qualifications :
Skills and Experience
Essential
- Degree (Bachelors or Masters) in Data Science Computer Science Engineering Mathematics or a related field.
- Strong working knowledge of Python and SQL or similar tools.
- Foundational understanding of data analysis statistics and basic machine learning concepts.
- Familiarity with large language models and AI tooling (e.g. prompt design APIs experimentation).
- Ability to explain technical concepts in clear practical business terms.
Desirable
- Exposure to cloud platforms (GCP Azure or AWS).
- Experience working with business or operational datasets (HR data a plus but not required).
- Internship placement or project experience in analytics consulting or automation.
- Awareness of ethical considerations in data and AI use.
Personal Attributes
- Curious and practical with a strong bias toward building and testing solutions.
- Comfortable working in ambiguity and learning through iteration.
- Commercially aware with an interest in how HR supports business outcomes.
- Collaborative and open to feedback with a growth mindset.
What Success Looks Like in the First Year
- Delivery of working AI- or data-enabled solutions that are actively used by HR teams.
- Measurable reduction in manual HR effort or improvement in decision quality.
- Increased confidence within HR to use data and AI responsibly.
- A clear case for scaling HR innovation capability based on demonstrated impact.
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
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